15 of 15 Machine Learning Jobs in Avon

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Oracle OBIEE/OAS reports & dashboards Experience with working on the cloud, preferably with AWS, including certifications Familiarity with Apex Data migration Understanding of machine learning or data science, including Python. Candidates must be based in the UK and hold a British/EU Passport or Indefinite Leave ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

skills Nice-to-have: Publications or patents in GPU/AI accelerator design or related fields Experience with FPGA prototyping and emulation Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) Whats Offered: Salary : Competitive and commensurate with experience and qualifications Equity : Stock options in our early-stage startup ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

platforms Agile delivery experience and strong collaboration skills Bonus skills: Experience with other cloud providers, DevSecOps automation, Apigee/API Gateway, or AI/ML-enabled cloud services. Security Eligibility: Candidates must be eligible for UK Security Clearance (SC or DV) if required. Why This Role? As a Cloud DevOps ...

existing .NET/Angular platform while leading the design and implementation of AI-centric features and integrations. You will partner closely with our ML engineering and infrastructure teams to leverage our in-house GPU infrastructure and Run.ai platform for model training, fine-tuning, and inference at scale. Key Responsibilities Core … Server and MongoDB RESTful APIs; NServiceBus or equivalent service bus/messaging platform. Demonstrable experience in at least one of: Implementing AI/ML-driven features in a production product, or Building document processing/intelligent automation workflows (OCR, classification, extraction, validation). Familiarity with common AI/automation building ...

Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential: - Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

TypeScript Strong recent experience in PHP, Laravel, TypeScript and React A product-focused mindset with a passion for crafting user-friendly software Exposure to machine learning or a strong interest in practical AI applications Experience working with Docker and AWS infrastructure Familiarity with CI/CD workflows (DevOps ...

solutions from concept to production Establish AI operating models, best practices, and responsible AI frameworks Build and lead high-performing multidisciplinary teams (Data Science, ML Engineering, MLOps) Identify use cases across functions (customer experience, operations, knowledge management, automation) Ensure scalability, security, and compliance of AI platforms Required Experience Proven leadership … delivering Generative AI programmes at enterprise scale Strong advisory background engaging senior business leaders Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering, fine-tuning ...

optimisation, and observability Architect and implement multi-cloud, data lake, and data warehouse platforms Design scalable data pipelines, integration workflows, and analytics solutions Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges Operate as a strategic and technical leader across client engagements, guiding … Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability to translate business needs into technical solutions ...

Neo4j schemas; write high-performance Cypher queries and ensure production scalability. Graph Data Science: Apply graph algorithms (e.g., centrality, pathfinding, community detection) and graph ML to derive actionable insights. Production Deployment: Move solutions from research to production (TRL > 6); integrate graph models into APIs and pipelines with reliability and latency … experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL). Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver). Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL. Production Engineering: Hands-on experience with Docker, REST APIs (FastAPI/Flask ...

technical stakeholders Mentoring or coaching experience Bonus skills: Kafka, enterprise data platform migrations, RDBMS experience (Postgres, MySQL, Oracle, SQL Server), and exposure to ML pipelines. Security Eligibility Candidates must be eligible for UK Security Clearance (SC or DV) if required. Why This Role? This is a chance to work … Data Engineer, taking ownership of technical decisions, shaping delivery practices, and developing your career. Youll join a supportive environment where mentoring and learning are highly valued, and your work will directly contribute to the success of complex data programmes. Ok I'm In What's Next? Please apply with ...

participate in architectural discussions Familiarity with agile and DevOps practices: sprints, user stories, backlogs, continuous integration/delivery, monitoring Understanding of AI/ML concepts sufficiently to evaluate feasibility and ROI of AI-driven features; ability to communicate with data scientists and ML engineers Domain Expertise: Healthcare & Insurance Minimum 5+ ...